Skip to main navigation Skip to search Skip to main content

Analysis of landslide susceptibility using monte carlo simulation and GIS

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Since the landslide is one of the repeated geological hazards and causes a terrible loss of life and properties in Korea, many different researches have been carried out to evaluate the hazard and the susceptibility of landslide. The physical landslide model has been suggested to evaluate the factor of safety in previous studies but the deterministic approach has been utilized. However, applying the deterministic model in regional study area can be difficult or impossible because of the difficulties in obtaining and processing of large spatial data sets. With limited site investigation data, uncertainties were inevitably involved with. Therefore, the probabilistic analysis method such as Monte Carlo simulation has been utilized in this study. The GIS based infinite slope stability model has been used to evaluate the probability of failure. The proposed approach has been applied to practical example. The study area in Pyeongchang-gun, Gangwon-do has been selected since the area has been experienced tremendous amount of landslide occurrence.

Original languageEnglish
Title of host publicationLandslide Science and Practice
Subtitle of host publicationLandslide Inventory and Susceptibility and Hazard Zoning
PublisherSpringer Science and Business Media Deutschland GmbH
Pages371-378
Number of pages8
ISBN (Print)9783642313240
DOIs
Publication statusPublished - 2013
Event2nd World Landslide Forum, WLF 2011 - Rome, Italy
Duration: 3 Oct 20119 Oct 2011

Publication series

NameLandslide Science and Practice: Landslide Inventory and Susceptibility and Hazard Zoning
Volume1

Conference

Conference2nd World Landslide Forum, WLF 2011
Country/TerritoryItaly
CityRome
Period3/10/119/10/11

Keywords

  • Monte Carlo simulation
  • Probability of failure
  • Uncertainty

Fingerprint

Dive into the research topics of 'Analysis of landslide susceptibility using monte carlo simulation and GIS'. Together they form a unique fingerprint.

Cite this